K-Means 聚类算法研究综述
杨俊闯， 赵超 - 计算机工程与应用, 2019 - cqvip.com
K-均值(K-Means) 算法是聚类分析中一种基于划分的算法, 同时也是无监督学习算法.
其具有思想简单, 效果好和容易实现的优点, 广泛应用于机器学习等领域. 但是K-Means …
其具有思想简单, 效果好和容易实现的优点, 广泛应用于机器学习等领域. 但是K-Means …
AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
A multidisciplinary ensemble algorithm for clustering heterogeneous datasets
Clustering is a commonly used method for exploring and analysing data where the primary
objective is to categorise observations into similar clusters. In recent decades, several …
objective is to categorise observations into similar clusters. In recent decades, several …
A novel cluster detection of COVID-19 patients and medical disease conditions using improved evolutionary clustering algorithm star
With the increasing number of samples, the manual clustering of COVID-19 and medical
disease data samples becomes time-consuming and requires highly skilled labour …
disease data samples becomes time-consuming and requires highly skilled labour …
A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms
Fuzzy clustering is a well-established technique among the well-known clustering
techniques in several real-world applications due to easy implementation and produces …
techniques in several real-world applications due to easy implementation and produces …
Analysis of Simple K-Mean and Parallel K-Mean Clustering for Software Products and Organizational Performance Using Education Sector Dataset
Context. Educational Data Mining (EDM) is a new and emerging research area. Data mining
techniques are used in the educational field in order to extract useful information on …
techniques are used in the educational field in order to extract useful information on …
Review on the research of K-means clustering algorithm in big data
C Jie, Z Jiyue, W Junhui, W Yusheng… - 2020 IEEE 3rd …, 2020 - ieeexplore.ieee.org
K-Means algorithm is an unsupervised learning algorithm, which is widely used in machine
learning and other fields. It has the advantages of simple thought, good effect and easy …
learning and other fields. It has the advantages of simple thought, good effect and easy …
AI based service management for 6G green communications
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no …
energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no …
AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation
Population-based evolutionary algorithms have great potential to handle multiobjective
optimisation problems. However, the performance of these algorithms depends largely on …
optimisation problems. However, the performance of these algorithms depends largely on …
Multi-scale similarity guidance few-shot network for ship segmentation in sar images
Target detection and segmentation in synthetic aperture radar (SAR) images are vital steps
for many remote sensing applications. In the era of data-driven deep learning, this task is …
for many remote sensing applications. In the era of data-driven deep learning, this task is …